Abstract: The goal of this work is to apply metaheuristics to the problem of planning tourist trips. The tourist trip planning problem is the preparation of an optimal personalized itinerary based on ...

The current world demand for bioethanol is increasing as a consequence of low fossil fuel availability and a growing number of ethanol/gasoline flex-fuel cars. In addition, countries in several parts ...

Abstract: Quantum Embeddings (QE) is an important component of Quantum Machine Learning (QML) algorithms to load classical data present in Euclidean space onto quantum Hilbert space, which are then ...